

Quality Engineer with 2.8 years of experience in test automation and Python-based development, transitioning into AI/ML engineering. Skilled in Python, SQL, Machine Learning fundamentals, cloud technologies, and data analysis with hands-on exposure to model development and automation. Strong analytical and problem-solving skills with experience collaborating across teams to deliver scalable solutions.
Programming & Data Analysis
Python, SQL, NumPy, Pandas, Matplotlib, Seaborn, Exploratory Data Analysis (EDA), Feature Engineering
Machine Learning & AI
Scikit-learn, Regression, Classification, Clustering, Ensemble Methods, Model Evaluation, Generative AI, Large Language Models (LLMs)
Deep Learning & NLP
TensorFlow, PyTorch, Natural Language Processing (NLP), Text Processing, LangChain
Cloud, Deployment & Tools
AWS, Azure, GCP, Docker, Git, FastAPI, CI/CD
Visualization & Testing Background
Tableau, Power BI, Selenium, Test Automation, API Testing, Agile Methodologies
• Machine Learning Specialization — Coursera — 2026
• Microsoft Azure AI Fundamentals (AI-900) — Microsoft — 2026
• AWS Cloud Practitioner — Amazon Web Services — Ongoing
AI-Powered Test Case Generation Platform
Technologies: Python, LangChain, LLMs, FastAPI, Docker, AWS
Multi-Document RAG Enterprise Assistant
Technologies: Python, LangChain, Vector Database, FastAPI, Docker, AWS/Azure